Title :
Optimal Energy Storage System planning for microgrids with contract capacity constraint
Author :
Shu-Hung Liao ; Jen-Hao Teng ; Yung-Ching Huang ; Dong-Jing Lee
Author_Institution :
Dept. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan
Abstract :
Due to the inherent variability of Renewable Energy Generation Systems (REGSs), REGSs are commonly uncontrollable. Although microgrids can effectively monitor REGSs, it cannot directly manage and control the intermittent output characteristic of REGSs. Recently, many experts recommend that Energy Storage Systems (ESSs) should be integrated into REGSs to mitigate the instability and further reduce the peak load and contract capacity of microgrids. Although the benefits of ESSs for REGS integrations are significant, their benefits greatly depend on the locations and capacities of ESSs installed. Therefore, this paper proposes an optimal capacity planning for ESS to reduce contract capacity of microgrids. The optimal charging/discharging scheduling of ESSs can also be obtained by the proposed method. An actual microgrid with field measurements is used to test the proposed optimal ESS capacity planning method. Test results demonstrate the validity of the proposed method.
Keywords :
distributed power generation; energy storage; power generation planning; power system measurement; solar power; wind power; ESS capacity planning method; REGS integrations; charging-discharging scheduling; contract capacity constraint; field measurements; microgrids; optimal energy storage system planning; renewable energy generation systems; Discrete wavelet transforms; Contract Capacity; Energy Storage System; Microgrid; Optimal Capacity Planning; Renewable Energy Generation System;
Conference_Titel :
Power Electronics Conference (IPEC-Hiroshima 2014 - ECCE-ASIA), 2014 International
Conference_Location :
Hiroshima
DOI :
10.1109/IPEC.2014.6869776